Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 3 · DO #415 · 204_Popenoe_Bx31FF16r

Collection
Wilson Popenoe (1892–1975) family papers
Item/Folder
Imperial College of Tropical Agriculture, 26 April 1940–3 September 1941
Digital Object
DO #415, page 3
Collection-level dates
1882–1975
Open PDF at page 3 ↗

Page transcription

THE IMPERIAL COLLEGE OF TROPICAL AGRICULTURE
(INCORPORATED BY ROYAL CHARTER)
TRINIDAD, B.W.I.
12th July, 1940.

In reply please refer to No. A.L. 370

Wilson Popencoe Esq.,
Primera Avenida Sur No. 2,
Antigua, GUATEMALA.

Dear Popenoe,

This is just a note to remind you of the promise which
you kindly made to me during your short visit at the College to
write two articles for "Tropical Agriculture".

If I remember rightly one of these was to deal with the
history of the development of the existing commercial varieties
of avocado pear together with notes on the modern aspects of the
cultivation of this crop, drawing attention also to the importance
of the avocado as a food crop.

For the other article I suggested that you might perhaps
write an account of any new horticultural practices in respect of
tropical crops which you had observed during your extensive tour
in South and Central America.

I do hope very much that you will have time to send me
something along these lines as I am at present looking for
suitable material. Since the war started I have not been getting
as many contributions as I would wish.

I should also appreciate any help which you could give
me in securing additional contributions from Central America as
you said you might be able to find one or two persons who would
be willing to contribute.

A really authoritative article on "modern methods of
banana cultivation" would not be amiss.

With kind regards,
Yours sincerely,
Gianetti
Editor,
"Tropical Agriculture".